Manuel Nietert

About us

Dr. Manuel Nietert

Group Leader Chemoinformatics and Imaging at the UMG

Telephone: 0551/39-61789

E-Mail: manuel.nietert@med.uni-goettingen.de

Location: Goldschmidtstr. 1, 2. OG, Room: 2.112

ORCID ID: https://orcid.org/0000-0001-5443-7943

Work Affiliations:

Group of Chemoinformatics and Imaging - UMG

Curriculum Vitae

Since 2023 Project Coordinator, ERAPerMed Stracyfic, UMG, Germany

2022 - 2024 Interim Professorship for Informatics at the University of Applied Science and Arts - Faculty of Engineering and Health HAWK, Germany

Since 2019 Project Leader, AutoBuSTeD, UMG, Germany

Since 2018 Group Leader of Applied Bio(chem)informatics and Image Analysis in the Department of Medical Bioinformatics, UMG, Germany

2017 - 2024 Project Leader, CandActCFTR, UMG, Germany

2013 - 2016 Researcher & Project manager, MetastaSys, UMG, Germany

2010 - 2013 Researcher & Project manager, BreastSys, UMG, Germany

2007 - 2009 Research Assist., Dept. of Microbiology and Genetics, TU Darmstadt, Germany

08/2008 PhD in Chemistry, Goethe University, Frankfurt a. M. - Germany

08/2004 Master Level Degree in Biochemistry, Goethe University, Frankfurt a. M., Germany

Awards/ Academic Roles

2022/10 to 09/2024 Interim Professorship for Informatics at the University of Applied Science and Arts - Faculty of Engineering and Health HAWK

In July 2022 we received the LIFT-OFF 2022 Gründungswettbewerb award of the Georg-August-University Göttingen - 2. place in the category science.

In October 2022 we received together with our partners from the Hannover Medical School (MHH) the decission notification that our next clinical study "The β-adrenergic sweat secretion test using AutoBuSTeD software as a novel diagnostic tool in patients with CFTR dysfunction" will be funded by the German Patient Organisations Mukoviszidose Institut gemeinnützige Gesellschaft für Forschung und Therapieentwicklung mbH small project funding program.

Also in October 2022 we reveived the decission notification that we will receive funding from the ERAPerMed joint transnational call 2022 program for further developing the standardization of the test for our project submission "Patient Stratification by Standardization of the Image-based Sweat Test for Cystic Fibrosis for use in Clinical Routine" . Where I will be working with our partners from Belgium, France, Germany and Italy together with the partners of the European patient organisation to bring the test to a clinical routine use level. The project started in 2023 and more information can be found here.

Christiane Herzog-Foundations “Forschungsförderpreis für wissenschaftliche Nachwuchsförderung 2018”, initial funding for the Automatic bubble sweat test diagnostic project – AutoBuSTeD

Former Vice spokesperson of the working group Data quality and transparency in medical research of the TMF e.V. - the umbrella organization for networked medical research in Germany.

Member of the FAIRDOM Systems Biology Developers Foundry since 2012

Research focus

Major Research Interests

For the past years we focus our research in the field of cystic fibrosis (CF), where we still see an unmet demand for IT solutions to help this field. In general our work group aims at providing IT based solutions for biochemical aspects of the systems biology and systems medicine projects, but if necessary can even venture out to help improve the acquisition setup. We thus develop and adapt software solutions to provide the required tools for medical research.

At a first glance, CF is a monocausal disease in which over 2000 putative mutations leading to various forms of phenotypes have been identified. Among these, about 300 variants define the more common types.
The CFTR protein is only effective as an integral membrane protein, and as such, it is affected by transcription, translation, folding and degradation, as well as protein traficking processes. Thus, this monogenic disease has multiple sites for potential drug intervention during its life cycle and covers also protein structure variants. This makes it an interesting target for a system medicine approach. The life cycle of the protein offers also multiple modes to obtain information to annotate the system and the existing literature offers various annotations for specific combinations of mutations and read-outs (e.g. protein expression, functional patch clamp measurements, up to structure models and molecular dynamic simulations).

Current Projects

Automated Bubble Sweat Test Diagnostics – AutoBuSTeD -s.gwdg.de/xv5Uzr

AutoBuSTeD is an example of the work we do on the automation of image analysis workflows, e.g. the AutoBuSTeD project, and we also cover various other image input sources for other projects as well. E.g. microscopy data in the project Pulmonary transplantation of macrophages as a cellbased therapy to treat chronic infections in the cystic fibrosis lung, where we are the collaboration partner to automate the LysoSensor image analysis.

Curated database of candidate therapeutics for the activation of CFTR-mediated ion conductance – CandActCFTR – s.gwdg.de/xvtIlC

CandActCFTR is a curated compound database which annotates the chemical structure library with information on where and how in the protein life cycle a compound likely interacts, thus comprising a good starting point for modelling the disease and enhancing ligand based approaches. In the upcoming extension of CandActCFTR, this ligand-based approach will be complemented by structure-based annotations, including the means to predict the interactions between CandActCFTR substances and CFTR by using existing molecular dynamics trajectories, and by adding more organisation and annotation modules

Publications